Do the Right Task! Supporting Volunteers Timetabling with Preferences Through the Sponsor Platform
Sponsor is an AAL project that aims at developing, testing and implementing an ICT platform to facilitate the posting, browsing and exchange of key information between competence-offering seniors and search-based requests from competence-demanding organizations within the public, private and voluntary sectors. This paper describes a specific aspect addressed in developing a pilot for the project dedicated to volunteering associations support. Very important when dealing with volunteers is their assignment to the right activities not only suitable for their capabilities but also for their current wishes. The paper describes a complete prototype called SponsorT developed to support a volunteering organisation called Televita. SponsorT helps managers to better allocate different activities to the volunteers with the overall aims to find the more suitable match in terms of aptitude and personal inclinations. Attention is given to the description of the end-to-end aspects of the prototyped application from the problem definition to its day by day use.
Authors work is partially funded by the Active and Assisted Living Joint Program under the Sponsor project (AAL-2013-6-118—http://sponsor-aal.eu/).
- 1.Solving the Synergistic Team Composition Problem, 2018.Google Scholar
- 3.Andrejczuk, E., Rodŕıguez-Aguilar, J., Roig, C., & Sierra, C. (2017, February). Synergistic team composition. In Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, AAMAS ’17 (pp. 1463–1465).Google Scholar
- 7.Cesta, A., Cortellessa, G., De Benedictis, R., & Fracasso, F. (2017). A tool for managing elderly volunteering activities in small organizations. In AI*IA 2017. Advances in Artificial Intelligence—XVIth International Conference of the Italian Association for Artificial Intelligence, Bari, Italy, November 14–17, 2017, Proceedings (pp. 455–467).CrossRefGoogle Scholar
- 8.Cesta, A., Cortellessa, G., De Benedictis, R., Fracasso, F., Baumann, D., Cuomo, S., Doyle, J., Imeri, A., Khadraoui, D., & Rossel, P. (2016). Personalizing support to older adults who look for a job with the Sponsor Platform. Proceedings of the Artificial Intelligence for Ambient Assisted Living 2016 Workshop, pages 105–122, 2016.Google Scholar
- 10.Costa, P. T., & McCrae, R. R. (1992). Revised NEO Personality Inventory (NEO PI-R) and NEO Five-Factor Inventory (NEO-FFI). Psychological Assessment Resources.Google Scholar
- 11.De Moura, L., & Bjørner, N. (2008). Z3: An efficient SMT solver. In Proceedings of the Theory and Practice of Software, 14th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS’08/ETAPS’08 (pp 337–340). Berlin, Heidelberg: Springer.Google Scholar
- 13.Farhangian, M., Purvis, M., Purvis, M., & Savarimuthu, T. B. R. (2015). Agent-based modeling of resource allocation in software projects based on personality and skill. In F. Koch, C. Guttmann, & D. Busquets (Eds.), Advances in social computing and multiagent systems (pp. 130–146). Cham: Springer International Publishing.CrossRefGoogle Scholar
- 14.Fasbender, U., Wang, M., Voltmer, J.-B., & Deller, J. (2016). The meaning of work for post-retirement employment decisions. Work, Aging and Retirement, 2(1), 12–23.Google Scholar
- 18.Manyaà, F., Negrete, S., Roig, C., & Soler, J. R. (2017). A MaxSAT-based approach to the team composition problem in a classroom. In G. Sukthankar & J. A. Rodriguez-Aguilar (Ed.), Autonomous agents and multiagent systems (pp. 164–173). Cham: Springer International Publishing.Google Scholar
- 19.Myers, I. B., & Myers, P. B. (1995). Gifts differing: Understanding personality type. Mountain View, CA: Davies-Black Publishing.Google Scholar